“RAG”

Use quando precisar buscar contexto vetorial, gerar embeddings, ou consultar o RAG.

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.

Set up and optimize a complete local AI infrastructure — Ollama, Open WebUI, local RAG pipelines, and private model serving.

Generate vector embeddings via tokenhop /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search…

Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search…

Use for authorized security assessment of LLM applications and AI agents, including prompt injection, tool abuse, RAG exposure, memory poisoning, and model…

Use when implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or…

LLM app development with RAG, prompt engineering, vector databases, and AI agents

Build a paper sheet in Three.js that reads as paper up close — washi, cotton rag or kraft with baked fibre and tooth relief, laid and chain lines, a torn…

openloomi HTTP API reference (local-first, served from the OpenLoomi Desktop app at http://localhost:3414).

Complete Open WebUI API integration for managing LLM models, chat completions, Ollama proxy operations, file uploads, knowledge bases (RAG), image generation…

Deploy containerized Python apps (FastAPI, RAG, agent backends) to Azure Container Apps with cost optimization for free/student subscriptions.

Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and…

Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.

Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows.

Text embeddings for semantic search, clustering, RAG retrieval, and similarity.

Build production embedding pipelines for semantic search, RAG, and recommendation systems.

Complete agentic skill to manage, inspect, RAG-search, calculate nutrition, and backup the Bjarki Samoyed Longevity AI platform.

Call POST /embeddings on Venice.

starting the local environment the course codes against.

Suede AI code review and A-F ship grade for a diff, PR, branch, or commit range: findings ranked P0-P3 with file:line evidence and a fix path, an A-F grade…

Local document and PDF parsing that returns spatial text with bounding boxes.

Access 50+ LLM models through AceDataCloud's unified chat APIs.

Answer questions about the AI SDK and help build AI-powered features.